4.6 Article

In-Needle Pre-Column Derivatization for Amino Acid Quantification (iPDAQ) Using HPLC

期刊

METABOLITES
卷 12, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/metabo12090807

关键词

HPLC; amino acids quantification; pre-column derivatization; SRM1950

资金

  1. Adaptable and Seamless Technology Transfer Program through Target-driven R&D (A-STEP) from Japan Science and Technology Agency (JST) [JPMJTR204J]
  2. AMED-CREST from Japan Agency for Medical Research and Development (AMED) [JP22gm1010010]
  3. New Energy and Industrial Technology Development Organization (NEDO) [JPNP20011]
  4. JST-Mirai Program [JPMJMI20G1]
  5. JST Moonshot [JPMJMS2011-62]
  6. KAKENHI from Japan Society for the Promotion of Science (JSPS) [JP22K14546, JP22H01883, JP20K15101, 17H06304]

向作者/读者索取更多资源

The study presents a novel HPLC-based amino acid quantification method called iPDAQ, which transforms the derivatization process from an offline chamber process to an online in-needle process. This method improves the throughput and reduces the consumption of derivatization reagents, allowing for the continuous analysis of a large number of samples.
Pre-column fluorescent derivatization has been used for the fast quantification of amino acids using high-performance liquid chromatography (HPLC) systems. However, it generally requires an offline in-vial derivatization process with multiple derivatization reagents. The offline derivatization requires the same number of reaction vials as the number of sample vials for use as a reaction chamber for the derivatization reaction in an autosampler. Therefore, the number of samples analyzed per batch using the pre-column derivatization method is halved. To benefit from the pre-column derivatization method, we transformed the derivatization process from an offline chamber process to an online in-needle process (in-needle Pre-column Derivatization for Amino acids Quantification; iPDAQ). Fluorescent derivatization in the injection needle obviated the need for vacant vials as reaction chambers. Consequently, the throughput per batch improved up to two times, and the consumption of derivatization reagents was reduced to less than one-tenth of that in the conventional vial method. We demonstrated to separate and quantify the amino acids in various biological samples. Herein, we presented a novel HPLC-based amino acid quantification method that enables the continuous analysis of a large number of samples. The iPDAQ facilitates accurate amino acid quantification due to the automation of derivatization and achieves improvement in the throughput and reduction of analysis labor.

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